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Paper Citation Record · LEDGER

From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2406.16838.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.16838 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:01:43.740595Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T17:38:43.202475Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 65a128b4-8b6f-477f-9bc6-8dd7bdcb35d4 · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:51:48.421321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T00:51:48.163349Z digest=sha256:672fb6b875edcf6f2ac5971c4cd4127f20b6557150f923bcf171d5686a75d9c8

Observation f8f1525b-96e7-4a7c-94f0-10ed0099f340 · inbound

Optimizing Temperature for Language Models with Multi-Sample Inference cites this paper.

Optimizing Temperature for Language Models with Multi-Sample Inference From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T20:01:43.740595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:01:43.740595Z digest=sha256:05388b010309c982a836f3936b54f0b5fb3fbd16aedc4332f9a6635debbe9ede

Observation ebabf030-ed6d-4af9-a4bf-a996a5619b65 · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T15:58:33.547937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T15:58:33.219451Z digest=sha256:4a1324fcb12e3737bf590b9bb20c19e0a5c9a1921f5d57c5c4b6feae679d4448

Observation 07e50bf0-a5c8-4ad7-ade3-bd0e2263271b · inbound

First Finish Search: Efficient Test-Time Scaling in Large Language Models cites this paper.

First Finish Search: Efficient Test-Time Scaling in Large Language Models From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:42.375970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:42.375970Z digest=sha256:b53d2e9b765f4c25bfdd48ed69544afe3f5639f022dc343d336250dc95241a68

Observation f97a9193-d96a-40c9-8361-089ac140567c · inbound

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning cites this paper.

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:48.475482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:48.475482Z digest=sha256:a93744b96f78929a170f68717822796885df04f335396c1ba8e54519a57a4efa

Observation 4a6f70b4-328a-4871-bfd8-7e74942e7ec9 · inbound

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation cites this paper.

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:49.675555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:49.675555Z digest=sha256:3d14484984a536bfc84ffc40e5278531b4cafc0c10227039c78631f7c0f123c7

Observation 169aae46-5f0f-469b-89dd-d35faa0f2fb6 · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T10:42:41.082119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:42:41.082119Z digest=sha256:fc59badceb533f9c82070dcbdf1d982911f7fedeb240a40d03c972986bde06d0

Observation c062ef60-2ff6-4845-bad7-00bc850adc90 · inbound

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs cites this paper.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:05.953393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:05.953393Z digest=sha256:30eec522ab863a085173ace949e2a2bea370af0b740106c782e8b4b2b2665c89

Observation 64a1a329-7c7c-44fc-9d7b-6257ba1da799 · inbound

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework cites this paper.

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:42.867863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:42.867863Z digest=sha256:7769fbc824f09f4ba2c4c388a7e0e4e10b5dd7f3954b030ee58e84555d3c523d

Observation bffdefc5-372f-4dbe-a03c-3aa5e4d5ae58 · inbound

Breaking the Myth: Can Small Models Infer Postconditions Too? cites this paper.

Breaking the Myth: Can Small Models Infer Postconditions Too? From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:43.281934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:43.281934Z digest=sha256:58ae81551767ac7e9147e5147d48524da61001d74df1834f9249a6d9048a0ea1

Observation 88529ffc-21a4-4fa3-a5bc-debeba036124 · inbound

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization cites this paper.

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:43.802572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:43.802572Z digest=sha256:5e2251f793d20164445bf1a6ae2893ca0d0293c38803373c34da60227e8ec566

Observation 5e43cafe-23dc-4a78-b566-a04e133c414e · inbound

Constrained Decoding for Safe Robot Navigation Foundation Models cites this paper.

Constrained Decoding for Safe Robot Navigation Foundation Models From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:11:47.487030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T19:07:18.832187Z digest=sha256:a7328b996182c70d36d283020d0d42177f25922e028646855aba39c05482e215

Observation 138070ef-4331-45e5-8e85-f6187ae41eaa · inbound

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) cites this paper.

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-03T07:05:16.731784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:05:16.731784Z digest=sha256:a2f259b5493bc1f2abcb6cad21a34102b9cce4863474b1a180bca58e2afe73b1

Observation 1c061466-5610-43c7-9499-b9a75e33aa87 · inbound

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space cites this paper.

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 36

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verified exact
arxiv_id, observed 2026-05-15T11:35:31.732550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T11:31:38.301306Z digest=sha256:40c73aa09774d92d4398840bdeebf3dc5c47e2c061dc32c79084860864b8d981

Observation 0278de20-04f1-4f31-9b3d-e8ee64cfc822 · inbound

Learning and Enforcing Context-Sensitive Control for LLMs cites this paper.

Learning and Enforcing Context-Sensitive Control for LLMs From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:46:00.108565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T16:30:01.340343Z digest=sha256:10321eaa8ea234d568acf36966fef71e88523d57bcb65fde26d1acab3d1a4747

Observation c351be8c-bc7b-45ce-b1cd-06d833d2024b · inbound

Your Model Diversity, Not Method, Determines Reasoning Strategy cites this paper.

Your Model Diversity, Not Method, Determines Reasoning Strategy From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:56:02.685136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T15:16:30.448400Z digest=sha256:57fe6071d62a47d9739e44ad90a3be749c29d204bb7b1bb0bf4ef970908b1559

Observation 442a1a53-24e4-4ae1-8553-e51dcf596288 · inbound

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference cites this paper.

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:56:12.233653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-07T16:04:48.394294Z digest=sha256:2c02e5ec82c20ac95957e10e4dba8cbbafb40f69395258ec2ab7b7dc800abeea

Observation f31e2c5c-606e-4b10-8d2a-b03c7cdf1c13 · inbound

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation cites this paper.

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 39

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verified exact
arxiv_id, observed 2026-05-11T17:51:06.535062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T17:06:18.050592Z digest=sha256:243d6ff48a9d0fb00c4634fb6a71161e233d64d61401a1974b31aef97cd09a02

Observation fe87dc92-5570-43e1-befd-5ca5ec8e57cc · inbound

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives cites this paper.

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:52:08.940656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T02:49:53.547490Z digest=sha256:b187b9cff60123c22281ea65d6a3eee3111d4cff42d725a82080e5ef93cd2349

Observation 2f1b3824-3017-409d-8113-e49c85894ad8 · inbound

APPO: Agentic Procedural Policy Optimization cites this paper.

APPO: Agentic Procedural Policy Optimization From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:37:49.411484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T10:21:55.485624Z digest=sha256:c1c13dcf6b842eefd99972135297732515115403bd9ef0befd35a19ae750626e

Observation e5e7acfa-e40c-40f5-9e12-93afd7143104 · inbound

APPO: Agentic Procedural Policy Optimization cites this paper.

APPO: Agentic Procedural Policy Optimization From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 79

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unresolved
no resolver link, observed 2026-08-03T02:12:33.576211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:12:33.576211Z digest=sha256:acf89b9b8d774dbe8d69760c99c112025a75cf41dfb8e55982c9c13a8c15b679

Observation 06c0c9b8-e752-4957-9882-95aa9834f762 · inbound

Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness cites this paper.

Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.204194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T17:36:09.322804Z digest=sha256:3e99acc0aa6639b629d912eb680280b03d7277df8c2ff1db1910ac7437967a15